Yubin Kuang - Co-Founder at Staer

Yubin Kuang

Co-Founder at Staer

Switzerland

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Summary

🤩

Rockstar

🎓

Top School

Yubin Kuang is a founder and engineering leader with 11 years of experience building large-scale computer vision and spatial intelligence systems, currently leading a startup after senior roles at Meta Reality Labs and co-founding Mapillary. He combines PhD-level applied mathematics and practical ML engineering to ship production-ready perception models and infrastructure for world-scale 3D semantic mapping and on-device spatial perception. His hands-on open-source contributions to Mapillary projects (mapillary_tools and OpenSfM) show deep expertise in image processing, feature matching, and robust data handling for large imagery pipelines. Comfortable spanning research and product delivery, he has repeatedly translated academic rigor into scalable systems used in real-world mapping and AR platforms. Based in Switzerland, he brings a rare mix of entrepreneurship, core algorithmic fluency, and operational experience building perception foundations for consumer and mapping products.

12 years of coding experience

13 years of employment as a software developer

BSc. Earth Sciences, BSc. Earth Sciences at Nanjing University

Doctor of Philosophy - PhD Applied Mathematics, Doctor of Philosophy - PhD Applied Mathematics at Lund University

Chinese, Chinese, English

Github Skills (12)

image-data10

command-line-tool10

opencv10

metadata10

image-upload10

python10

feature-extraction10

3d-reconstruction10

algorithm9

algorithms9

cprogramming-language5

c-language5

Programming languages (5)

C#JavaJavaScriptJupyter NotebookPython

Github contributions (5)

mapillary/mapillary_tools

Sep 2014 - Oct 2018

Command line tools for processing and uploading Mapillary imagery

Role in this project:

Back-end Developer

Contributions:3 releases, 217 commits, 29 PRs in 4 years 1 month

Contributions summary:Yubin primarily contributed to the `mapillary_tools` repository by modifying and improving the Python-based command-line tools. Their work focused on refining image upload functionality, specifically removing a requirement and improving time-handling within the upload process. Additionally, they made enhancements to the processing of EXIF data within images, including fixing make/model fields and incorporating a shared library for common functionalities. These modifications demonstrate a focus on improving the core utilities for processing and uploading imagery.

command-line-tool

mapillary/OpenSfM

Nov 2014 - Jun 2015

Open source Structure-from-Motion pipeline

Role in this project:

Back-end Developer

Contributions:188 commits, 2 PRs, 69 pushes in 6 months

Contributions summary:Yubin primarily contributed to the `opensfm` repository by implementing and refactoring core feature extraction and matching components within the Structure-from-Motion pipeline. They added support for different feature types, including SURF and AKAZE, and optimized matching algorithms like brute-force matching. The commits also focused on core functionality, such as handling sensor databases and integrating focal length conversions, improving the robustness and flexibility of the image processing pipeline.

structure-from-motionpythonsfm3d-reconstruction

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